Junxue ZHANG is currently a Research Assistant Professor at the Department of Computer Science & Engineering,
the Hong Kong University of Science and Technology (HKUST). Junxue obtained his Ph.D. at iSINGLab, HKUST, supervised by Prof. Kai CHEN. His research interests are building high-performance, intelligent and secure datacenter networking, with a particular focus on AI-Centric Transports (AICT) now. Please see his research statement for more information.
News
๐ 2024.12 - My co-authored paper GREEN is accepted to NSDI 2025. [more]
๐ชช 2024.12 - I will join USTC in Spring 2025. Looking for Ph.D. and M.Sc. students! [more]
๐ 2024.11 - My co-authored paper Sequoia is accepted to SIGMOD 2025. [more]
๐ 2024.10 - I will serve on the TPC of CoNEXT 2025. Welcome to submit! [more]
๐ 2024.10 - My co-authored paper TACC is accepted to ASPLOS 2025. [more]
๐ 2024.08 - eNetSTL and Jury are accepted to EuroSys 2025. [more]
๐ 2024.07 - Our survey on FHE accelerators is accepted to ACM Computing Survey. [more]
๐ 2024.05 - My co-authored paper Tassel is accepted to SIGCOMM 2024. [more]
๐ 2024.05 - My co-authored paper Excalibur is accepted to ATC 2024. [more]
๐ 2023.10 - Proteus received Best Paper Award @ ICNP! [more]
๐ 2023.04 - I am awarded the Honorable Mention, HKUST CSE Best Dissertation Award. [more]
๐ฅ Openings! ๐ฅ I will join University of Science and Technology of China as a Professor (็นไปปๆๆ)Ph.D. Supervisor. Specially appointed as a tenured associate professor with the title of full professor in Spring 2025. Multiple openings are available:
โข Ph.D. and M.Sc. Students: Multiple opening positions starting at Fall 2025 are available. I am currently seeking self-motivated Ph.D. and M.Sc. students to work with me. Ideal candidates should either have demonstrated research experience (e.g., published papers, participation in research projects) or be enthusiastic about producing high-quality code (e.g., taking pride in their work, contributing to open-source initiatives).
If you plan to admit in Spring 2025, please let me know as soon as possible.
โข Undergradate Students: I will recruit a number of undergraduate students from USTC after I join. These undergraduates will work on projects under my supervision or that of my Ph.D. students. They will also receive priority consideration for admission into M.Sc. or Ph.D. programs.
๐ง Please email me your CVCV should include your full education background and research/project experience. along with your English transcriptFor non-native English speakers, scores from well-recognized tests such as CET-4/6, TOEFL, IELTS, and others are all acceptable. if you are interested!
Selected Publications
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Full Publications
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Google Scholar
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DBLP
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Semantic Scholar
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ORCID
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arXiv Author
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* indicates equal contribution and # indicates corresponding author.
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FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen
In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023
paper
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usenix page
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slides
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video
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extended version
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LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath
Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
In Proceedings of the ACM SIGCOMM 2022 Conference, 2022
paper
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acm dl
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code
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slides
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video
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extended version
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Enabling ECN for Datacenter Networks with RTT Variations
Junxue Zhang, Wei Bai, Kai Chen
In Proceedings of the 15th International Conference on emerging Networking EXperiments and
Technologies, 2019
paper
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acm dl
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code
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slides
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extended version
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SoK: Fully Homomorphic Encryption Accelerators
Junxue Zhang*, Xiaodian Cheng*, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen
ACM Computing Survey, 2024, Volume: 26, Issue: 12
paper
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acm dl
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docker
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arXiv
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High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Han Tian, Kai Chen
IEEE Transactions on Parallel and Distributed Systems, 2024, Volume: 35, Issue: 8
paper
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ieee dl
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supplementary materials
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LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath (extended version)
Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen
IEEE/ACM Transactions on Networking, 2024, Volume: 32, Issue: 1
paper
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ieee dl
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code
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eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network Functions
Bin Yang, Dian Shen#, Junxue Zhang#, Hanlin Yang, Lunqi Zhao,
Beilun Wang, Guyue Liu, Kai Chen
In Proceedings of the 20th European Conference on Computer Systems, 2025
paper
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supplementary materials
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Efficient Decentralized Federated Singular Vector Decomposition
Di Chai, Junxue Zhang#, Liu Yang, Yilun Jin, Leye Wang, Kai Chen#,
Qiang
Yang
In Proceedings of the USENIX Annual Technical Conference, 2024
paper
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usenix
page
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code
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docker
Pass the Artfact Evaluation with all badges:
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Accelerating Privacy-Preserving Machine Learning With GeniBatch
Xinyang Huang, Junxue Zhang#, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai
Hu, Han
Tian, Kai Chen#
In Proceedings of the 19th European Conference on Computer Systems, 2024
paper
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acm dl
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code
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GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters
Kaiqiang Xu, Decang Sun, Han Tian, Junxue Zhang, Kai Chen
In Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025
(to appear)
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Fast, Scalable, and Accurate Rate Limiter for RDMA NICs
Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue
Zhang,
Kai Chen
In Proceedings of the ACM SIGCOMM 2024 Conference, 2024
paper
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acm dl
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Resilient Datacenter Load Balancing in the Wilds
Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Chowdhury Mosharaf
In Proceedings of the ACM SIGCOMM 2017 Conference, 2017
paper
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acm dl
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code
Teaching
2024 Fall, COMP 3511 - Operating Systems (L1)
Industry Experience
2018 - 2023, Co-founder/CTO, Clustar Technology
Co., Ltd
Professional Services & Activities
Journal Reviews
I have been reviewers for the following journals:
Awards
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Best Paper Award @ ICNP, 2023
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Honorable Mention, HKUST CSE Best PhD Dissertation Award, 2021-2022
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SIGCOMM 17 Travel Grants, 2017
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Postgraduate Fellowship, HKUST
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Google Excellent Student Scholarship, 2012
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National Scholarship 2014, 2011
Miscellaneous